Aiming at the expanding strain of resource constraints and environmental degradation, our government established the national strategy of the construction of ecological civilization and “Resource-conserving and Environment-friendly Society”. Based on the realistic background, this study, from the perspective of embedded service for environmental management, incorporated the researches in management, economics, environmental science, game theory, decision science and computer science into solving environmental problems. Specific research are as follows: multi-subject decision-making behavior characteristics and game relationship, emergency decision-making mechanism responsed to environmental pollution emergencies, and decision model and mechanism of the embedded service for environmental management; the big data processing, analysis and prediction method in the context of the multi-dimensional heterogeneous and unstructured data in the process of environmental monitoring; the multi-objective decision method, evaluation standard and performance appraisal system based on environmental embedded service; the decision-making effect simulation of the embedded environment management based on the analysis of game behavior and interest conflicts among stakeholders; the platform architecture of the environment management decision support based on the Internet of things and cloud computing. The development of the decision support platform for the embedded environment management will be applied to heavy metal pollution control and treatment in Xiangjiang River basin, as well as air pollution prevention and control engineering based on PM2.5 treatment. The results of this study has important theoretical and practical significance on improving our government and enterprise’s ability to cope with the challenge of resource and environment.
我国政府针对日益紧张的资源约束和环境恶化形势确立了建设生态文明和“两型社会”的国家战略,本课题基于这一现实背景,从为环境管理提供嵌入式服务的视角,将管理学、经济学、环境科学、博弈论、决策科学和计算机科学的研究纳入到解决环境问题当中,具体研究:多元主体决策行为特征及博弈关系,应对环境污染突发事件的应急决策机制,面向环境管理的嵌入式服务决策模式与机制;环境监测中多维异构及非结构化数据下的大数据处理、分析和预测方法;基于环境嵌入服务的多目标决策方法、评价标准与绩效考核体系;基于利益相关主体间利益冲突和博弈行为分析的嵌入式环境管理决策效果仿真;基于物联网、云计算的嵌入式环境管理决策支持平台的架构模式和架构体系。研发出的嵌入式环境管理决策支持平台将应用于湘江流域重金属污染治理和以PM2.5为主的大气污染防治工程。本课题研究成果对提高我国政府和企业应对资源和环境挑战的能力,具有重要的理论和现实意义。
我国政府针对日益紧张的资源约束和环境恶化形势确立了建设生态文明和“两型社会”的国家战略,本课题基于这一现实背景,从为环境管理提供嵌入式服务的视角,将管理学、经济学、环境科学、博弈论、决策科学和计算机科学的研究纳入到解决环境问题当中,具体研究:多元主体决策行为特征及博弈关系,应对环境污染突发事件的应急决策机制,面向环境管理的嵌入式服务决策模式与机制;环境监测中多维异构及非结构化数据下的大数据处理、分析和预测方法;基于环境嵌入服务的多目标决策方法、评价标准与绩效考核体系;基于利益相关主体间利益冲突和博弈行为分析的嵌入式环境管理决策效果仿真;基于物联网、云计算的嵌入式环境管理决策支持平台的架构模式和架构体系。研发出的嵌入式环境管理决策支持平台将应用于湘江流域重金属污染治理和以PM2.5为主的大气污染防治工程。本课题研究成果对提高我国政府和企业应对资源和环境挑战的能力,具有重要的理论和现实意义。
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数据更新时间:2023-05-31
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